itksnap 3.2.0-2build1 source package in Ubuntu
Changelog
itksnap (3.2.0-2build1) wily; urgency=medium * No-change rebuild for vtk 6.2. -- Matthias Klose <email address hidden> Sun, 30 Aug 2015 12:46:49 +0200
Upload details
- Uploaded by:
- Matthias Klose
- Uploaded to:
- Wily
- Original maintainer:
- NeuroDebian Team
- Architectures:
- any
- Section:
- science
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| itksnap_3.2.0.orig.tar.gz | 3.7 MiB | c002eb710df2bc9684c48966ffa58e643cb14d68f9ba65e885befc5f2a2cf05d |
| itksnap_3.2.0-2build1.debian.tar.xz | 4.8 KiB | bffffbf04d18d142686947e52dbff622bf91003a98696c9817ec713fa30aa207 |
| itksnap_3.2.0-2build1.dsc | 2.1 KiB | 147d7e6d9cb828868f39cc5dba06b2ef1d708f5496c2002cceace1a8207e1ec9 |
Available diffs
- diff from 3.2.0-2 (in Debian) to 3.2.0-2build1 (300 bytes)
Binary packages built by this source
- itksnap: semi-automatic segmentation of structures in 3D images
SNAP provides semi-automatic segmentation of structures in medical
images (e.g. magnetic resonance images of the brain) using active
contour methods, as well as manual delineation and image navigation.
Noteworthy features are:
.
* Linked cursor for seamless 3D navigation
* Manual segmentation in three orthogonal planes at once
* Support for many different 3D image formats, including NIfTI
* Support for concurrent, linked viewing and segmentation of multiple images
* Limited support for color images (e.g., diffusion tensor maps)
* 3D cut-plane tool for fast post-processing of segmentation results
- itksnap-dbgsym: debug symbols for package itksnap
SNAP provides semi-automatic segmentation of structures in medical
images (e.g. magnetic resonance images of the brain) using active
contour methods, as well as manual delineation and image navigation.
Noteworthy features are:
.
* Linked cursor for seamless 3D navigation
* Manual segmentation in three orthogonal planes at once
* Support for many different 3D image formats, including NIfTI
* Support for concurrent, linked viewing and segmentation of multiple images
* Limited support for color images (e.g., diffusion tensor maps)
* 3D cut-plane tool for fast post-processing of segmentation results
